1 citations · 1 across the 2 of their papers we have counts for
3 papers
AI Consilium: a Benchmark of LLM Clinical Multidisciplinary Second Opinions
Alexey A. Bokov, Ivan I. Panin, Nikolay B. Nechaev +10
Large language models (LLMs) can generate differential diagnoses for complex cases, but a useful second opinion must also be factually grounded, clinically coherent, actionable, an…
ChexFract: From General to Specialized -- Enhancing Fracture Description Generation
Nikolay Nechaev, Evgeniia Przhezdzetskaia, Dmitry Umerenkov +1
Generating accurate and clinically meaningful radiology reports from chest X-ray images remains a significant challenge in medical AI. While recent vision-language models achieve s…
How many samples to label for an application given a foundation model? Chest X-ray classification study
Nikolay Nechaev, Evgeniia Przhezdzetskaia, Viktor Gombolevskiy +2
Chest X-ray classification is vital yet resource-intensive, typically demanding extensive annotated data for accurate diagnosis. Foundation models mitigate this reliance, but how m…